/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GPU_VARIADIC_OP_SPLITTER_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_VARIADIC_OP_SPLITTER_H_

#include "absl/strings/string_view.h"
#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"
#include "tensorflow/compiler/xla/statusor.h"

namespace xla {
namespace gpu {

// Splits variadic ops with many operands into pieces such that we don't exceed
// the parameter space on the GPU. Currently only concatenate ops are split up.
class VariadicOpSplitter : public HloModulePass {
 public:
  absl::string_view name() const override { return "variadic-op-splitter"; }

  using HloPassInterface::Run;
  StatusOr<bool> Run(
      HloModule* module,
      const absl::flat_hash_set<absl::string_view>& execution_threads) override;
};

}  // namespace gpu
}  // namespace xla

#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_VARIADIC_OP_SPLITTER_H_
